An Applied Data Science graduate student at the University of Florida specializing in geospatial AI and remote sensing. I develop machine learning and deep learning pipelines using satellite imagery and LiDAR, and build interactive dashboards (Tableau/Power BI/Streamlit) to translate results into real-world environmental and climate resilience decisions.
💥 Presented at a University Poster Presentation event to peers and faculty, explaining my motivation, approach, and results through a live poster walkthrough. I engaged in Q&A, incorporated suggestions on clarity and evaluation, and practiced communicating technical work to a mixed audience.
💥 Poster is about the project REFocus — a two-stage approach for motion deblurring with optional colorization.
💥 Authored and co-authored 5 peer-reviewed IEEE publications, demonstrating applied AI/ML research experience and strong technical writing.
💥 Contributed end-to-end across problem formulation, experimentation, evaluation, and publication-ready documentation, following reproducible workflows.